Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EA |
2024-05-22 15:20 |
Online |
Online |
Anomaly sound detection of industrial equipment using acoustical features related to timbral attribute Yasuji Ota, Ryoya Ogura, Masashi Unoki (JAIST) |
(To be available after the conference date) [more] |
|
KBSE |
2024-01-24 09:10 |
Kagoshima |
(Primary: On-site, Secondary: Online) |
Datetime Feature Recommendation System by Using Data Column Names Satoshi Masuda, Tomohiro Takeda (TCU) KBSE2023-58 |
Analysis to gain new knowledge from huge amounts of data is called data science, and its widespread use is now socially ... [more] |
KBSE2023-58 pp.43-48 |
IBISML |
2023-12-21 15:25 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
A linear time approximation of Wasserstein distance with word embedding selection Sho Otao (Kyoto Univ.), Makoto Yamada (OIST) IBISML2023-38 |
Wasserstein distance, which can be computed by solving the optimal transport problem, is a powerful method for measuring... [more] |
IBISML2023-38 pp.50-57 |
RISING (3rd) |
2022-10-31 13:00 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
Feature Extraction Method From Device Command Outputs Toward Automation of Fault Diagnosis Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) |
The diversification and rapid spread of communication services have made networks operated by telecom companies extremel... [more] |
|
NS |
2022-10-05 10:45 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Feature Extraction Method From Command Outputs of Network Devices Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) NS2022-76 |
With the diversification and rapid growth of communication services, monitoring and management of networks have become i... [more] |
NS2022-76 p.1 |
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2022-07-20 10:40 |
Online |
Online |
Person Verification Using EEG Evoked by Ultrasound
-- Introduction of mutual features between electrodes -- Kotaro Mukai, Isao Nakanishi (Tottori Univ.) ISEC2022-19 SITE2022-23 BioX2022-44 HWS2022-19 ICSS2022-27 EMM2022-27 |
In user management, to realize continuous authentication of users, we have studied to use an electroencephalogram (EEG) ... [more] |
ISEC2022-19 SITE2022-23 BioX2022-44 HWS2022-19 ICSS2022-27 EMM2022-27 pp.64-69 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-28 13:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba) NC2022-16 IBISML2022-16 |
Hundreds of contiguous bands of remotely sensed hyperspectral image (HSI) capture the spectral signatures of observed ob... [more] |
NC2022-16 IBISML2022-16 pp.115-122 |
EA |
2022-05-13 15:00 |
Online |
Online |
Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino (NTT) EA2022-9 |
Many application studies rely on audio DNN models pre-trained on a large-scale dataset as essential feature extractors, ... [more] |
EA2022-9 pp.41-45 |
MBE, NC (Joint) |
2022-03-03 15:55 |
Online |
Online |
A study on hit classification by machine learning of Japanese popular music using Spotify Audio Features Kengo Kitamura, Susumu Kuroyanagi (NIT) NC2021-67 |
It is assumed that hit songs have common features with respect to the characteristics of hit songs. Based on this assump... [more] |
NC2021-67 pp.112-117 |
SAT, SANE (Joint) |
2022-02-24 14:50 |
Online |
Online |
Utilization of Dynamic Map Data in Cyberspace
-- Automatic generation of road feature vector data from point cloud -- Junichi Takiguchi (MELCO) SANE2021-99 |
Mitsubishi Mobil mapping system (MMS) is utilized widely for road account book update, maintenance of the road infrastru... [more] |
SANE2021-99 pp.12-16 |
IA, ICSS |
2021-06-22 09:00 |
Online |
Online |
Feature analysis of phishing website and phishing detection based on machine learning algorithms Yi Wei, Yuji Sekiya (Todai) IA2021-9 ICSS2021-9 |
Phishing is a kind of cybercrime that uses disguised websites to trick people into providing personally sensitive inform... [more] |
IA2021-9 ICSS2021-9 pp.44-49 |
EA, ASJ-H, EMM |
2020-11-20 09:00 |
Online |
Online |
[Poster Presentation]
Sound detection for laughter by using features based on auditory attributes Soichiro Tanaka (JAIST), Shota Morita (Fukuyama Univ), Masashi Unoki (JAIST) EA2020-24 EMM2020-39 |
This paper proposes a laughter detection method based on auditory attributes to detect special laughter such as a fake l... [more] |
EA2020-24 EMM2020-39 pp.15-20 |
BioX, CNR |
2020-03-04 18:00 |
Tokyo |
(Cancelled but technical report was issued) |
Studies on Biometrics Authentication by Behavioral Features at Flick Input Wataru motoyama, Shinnya Fukumoto, Masayuki Kashima (Kagoshima Univ.), Kiminori Sato (TUT), Mutsumi Watanabe (Kagoshima Univ.) BioX2019-68 CNR2019-51 |
As the penetration rate of smartphones increases, the importance of secrecy in personal authentication is increasing. In... [more] |
BioX2019-68 CNR2019-51 pp.35-40 |
SP, EA, SIP |
2020-03-02 13:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
A Robust Approach to Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2019-122 SIP2019-124 SP2019-71 |
We propose a robust approach to recovering the jointly sparse signals in the presence of outliers. The proposed approach... [more] |
EA2019-122 SIP2019-124 SP2019-71 pp.123-128 |
TL |
2019-09-29 14:05 |
Hokkaido |
National Institute of Technology, Hakodate College |
Investigation of Positional Relations on Distributed Representation of Words Contributing to Contrast Word Identification Yuki Okumura (OECU), Sachio Hirokawa (Kyushu Univ), Kazuhiro Takeuchi (OECU) TL2019-38 |
n recent years, distributed representations that represent words in a multidimensional real vector space have been widel... [more] |
TL2019-38 pp.5-9 |
CS |
2019-07-04 09:00 |
Kagoshima |
Amami City Social Welfare Center |
Traffic Feature-based Botnet Detection Scheme Emphasizing the Importance of Long Patterns Yichen An, Shuichiro Haruta, Sanghun Choi, Iwao Sasase (Keio Univ.) CS2019-18 |
The botnet detection is imperative. Among several detection schemes, the promising one uses the communication sequences.... [more] |
CS2019-18 pp.31-35 |
EMM, IT |
2019-05-23 14:00 |
Hokkaido |
Asahikawa International Conference Hall |
Generation of privacy-preserving images holding positional information for HOG feature extraction Masaki Kitayama, Hitoshi Kiya (Tokyo Metro. Univ.) IT2019-1 EMM2019-1 |
In this paper, we propose a generation method of images which have no visual information but hold the gradient direction... [more] |
IT2019-1 EMM2019-1 pp.1-6 |
DC |
2019-02-27 11:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
An Efficient Approach to Recycled FPGA Detection Using WID Variation Modeling Foisal Ahmed, Michihiro Shintani, Michiko Inoue (NAIST) DC2018-77 |
Recycled field programmable gate arrays (FPGAs) make a significant threat to mission critical systems due to their perfo... [more] |
DC2018-77 pp.37-42 |
AI |
2018-12-07 13:00 |
Fukuoka |
|
Feature Selection for Document Classification focused on Support Vector Kota Sakasegawa, Sachio Hirokawa (Kyushu Univ.) AI2018-25 |
Feature selection is a well-known approach for improving the prediction performance of document classifcation, where cru... [more] |
AI2018-25 pp.1-4 |
SR, RCS (Joint) (2nd) |
2018-10-31 10:25 |
Overseas |
Mandarin Hotel, Bangkok, Thailand |
[Poster Presentation]
A Comparison of Machine Learning Algorithms for Motor Sound Fault Detection Arpith Paida (AIT), Prerapong, Aimaschana Niruntasukrat, Koonlachat Meesublak, Panita (NECTEC) |
Automation plays important role in order to make human activities easier. In industries, machines /motors are used for m... [more] |
|